Platform Engineer at Stealth-mode Cloud Financial Data Platform

You will own the data infrastructure powering a consumption-first platform that helps enterprises manage million-dollar cloud contracts. You'll build scalable pipelines to process hundreds of millions of rows of billing data, modeling complex pricing schemes for providers like AWS. This role offers the chance to define foundational architecture for a $47B market.

• Design and maintain high-performance ETL pipelines using Python, ClickHouse, and Airflow to process hundreds of millions of rows per customer monthly.
• Build a sophisticated contract application engine that matches complex usage data to negotiated discount rates and commercial contract terms.
• Architect a multi-provider data model that normalizes disparate billing structures from AWS, GCP, and Azure into a unified, queryable schema.

• 3+ years of experience building data systems including warehouses, lakehouses, or OLAPs with a strong command of Python and advanced SQL.
• Proven expertise in columnar databases, Parquet files, and cloud storage (S3) with a focus on high-performance analytical workloads.
• A startup-ready mindset that values autonomy and precision, with the ability to navigate evolving schemas and undocumented provider data quirks.

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• You will join a small, high-impact team of under 10 people at the ground floor, working directly with founders who are recognized world leaders in cloud cost management.
• The company possesses an "unfair advantage" with direct access to Fortune 100 clients through its massive community presence and existing services firm intelligence loop.
• You will tackle some of the most complex data cardinality problems in tech, building a semantic layer that translates terabytes of technical cloud usage into business intelligence.